[ncl-talk] Linear Discriminant analysis using NCL

[Prashanth Bhalachandran]

Dennis, 
If there is any library that I can load, wrap and use with NCL for LDA, please let me know. Else, as I said, I will use Matlab. 

Prashanth 



> On Oct 16, 2017, at 11:02 AM, Prashanth Bhalachandran <prashanth.bhalachandran at gmail.com> wrote:
> 
> Thank you, Dennis. Matlab does have LDA, I just looked that up. I will either do it in Matlab or code it myself. 
> 
> Prashanth 
> 
> 
>> On Oct 16, 2017, at 11:00 AM, Dennis Shea <shea at ucar.edu <mailto:shea at ucar.edu>> wrote:
>> 
>> NCL does not have any 'linear discriminant analysis' functions. These are beyond the scope/mission on NCL. 
>> 
>> See: R, Matlab, S+, likely, Python's SciPy
>> 
>> Good luck
>> 
>> On Mon, Oct 16, 2017 at 11:44 AM, Prashanth Bhalachandran <prashanth.bhalachandran at gmail.com <mailto:prashanth.bhalachandran at gmail.com>> wrote:
>> Dear All,
>> I am looking to do a principal component analysis and a linear discriminant analysis using NCL.  I see that the eofunc computes the empirical orthogonal functions/ principal component analysis. But I don’t find anything on a linear discriminant analysis. I am new to both of these, so any help in this regard will be largely helpful. 
>> 
>> Thank you, 
>> Prashanth 
>>  <>
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